نتایج جستجو برای: clustering calibration method
تعداد نتایج: 1745240 فیلتر نتایج به سال:
the planning of water resources is based on the volume of water extracted from the aquifer and accurate estimate of this volume considerably helps to development. in this study, the bayesian networks model using continues and clustering structures was used to simulate the groundwater level of birjand aquifer. bayesian networks was calibrated with five input variables of aquifer recharge, water ...
this paper proposes a two-step approach for characterizing the reservoir properties of the world’s largest non-associated gas reservoir. this approach integrates geological and petrophysical data and compares them with the field performance analysis to achieve a practical electrofacies clustering. porosity and permeability prediction is done on the basis of linear functions, succeeding the elec...
traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...
a new method was developed for the spectral resolution by further determination of three- and four-component mixtures of drugs in urine samples through the complementary application of multivariate curve resolution-alternating least squares with correlation constraint. in the current study, a simple method was proposed to construct a calibration set for the mixture of drugs in the presenc...
background: since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. with the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. ma...
image segmentation is an essential issue in image description and classification. currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. moreover, there are many uncertainties and vagueness in images, which crisp clustering and even type-1 fuzzy clustering could not handle. hence, type-...
An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...
Based on the analysis of known methods technical solutions, a two-stage method calibration receiving active phased array antenna (AFAR) long-range detection radar station (RLS) is proposed. The peculiarity this algorithm, which does not require physical modification and use expensive measuring equipment, makes it possible to determine difference in characteristics AR channels compensate for dif...
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